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Numerical Recipes The Art of Scientific Computing

ISBN-10: 0521884071
ISBN-13: 9780521884075
Edition: 3rd 2007 (Revised)
List price: $189.00 Buy it from $92.40
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Description: This book/CD bundle of the greatly expanded third edition of Numerical Recipes now has wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. Co-authored by four leading scientists from academia  More...

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Book details

List price: $189.00
Edition: 3rd
Copyright year: 2007
Publisher: Cambridge University Press
Publication date: 9/1/2007
Binding: Mixed Media
Pages: 1256
Size: 7.25" wide x 10.00" long x 1.75" tall
Weight: 4.598
Language: English

This book/CD bundle of the greatly expanded third edition of Numerical Recipes now has wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The informal, easy-to-read style that made earlier editions so popular is kept throughout. Highlights of the new material include:a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support or further licence information please visit www.nr.com.

William Vetterling is a Research Fellow and Director of the Image Science Laboratory at ZINK Imaging, LLC in Waltham, MA. His career includes eight years on the physics faculty at Harvard and 20 years of numerical modeling and laboratory research on digital imaging at Polaroid Corporation.

Preliminaries
Solution of linear algebraic equations
Interpolation and extrapolation
Integration of functions
Evaluation of functions
Special functions
Random numbers
Sorting and selection
Root finding and nonlinear sets of equations
Minimization or maximization of functions
Eigensystems
Fast Fourier transform
Fourier and spectral applications
Statistical description of data
Modeling of data
Classification and inference
Integration of ordinary differential equations
Two point boundary value problems
Integral equations and inverse theory
Partial differential equations
Computational geometry
Less-numerical algorithms
References

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